--- title: "Disen Lan · Fudan University — author profile and papers" description: "Disen Lan, Fudan University: 2 papers on Elamur Research (2025), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/disen-lan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/disen-lan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Disen Lan # Disen Lan Disen Lan has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/), [Jusen Du](https://md.research.elamur.ai/free/en/authors/jusen-du/), [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5116249045) · [**h-index 0**](https://openalex.org/authors/A5116249045) · [4 works](https://openalex.org/works?filter=author.id:A5116249045) · [0 citations](https://openalex.org/works?filter=author.id:A5116249045&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/disen-lan/#papers) · [🔗 Cited 16 times in our library](https://md.research.elamur.ai/free/en/authors/disen-lan/cited-by/) · [⭐ Paper Stars ranking: #9360](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9360) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Disen+Lan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Disen+Lan) · [dblp](https://dblp.org/search?q=Disen+Lan) · [ACL Anthology](https://aclanthology.org/search/?q=Disen+Lan) ## Affiliations [🏢**ByteDance** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/disen-lan/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Liger: Linearizing Large Language Models to Gated Recurrent Structures](https://md.research.elamur.ai/free/en/papers/lan-2025-liger-linearizing-large-language-models/)** *(2025 · 9 citations)* Transformer LLMs have attention cost that grows quadratically with sequence length, and their KV cache keeps growing during generation. 2. **[MoM: Linear Sequence Modeling with Mixture-of-Memories](https://md.research.elamur.ai/free/en/papers/du-2025-mom-linear-sequence-modeling-mixture/)** *(2025 · 7 citations)* Linear sequence models such as linear attention, state space models and linear RNNs train in linear time and run inference with constant cost. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/) ×2 - [Jusen Du](https://md.research.elamur.ai/free/en/authors/jusen-du/) ×2 - [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/) ×2 - [Yu Cheng](https://md.research.elamur.ai/free/en/authors/yu-cheng/) ×2 ## Cited by Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/disen-lan/cited-by/). Updated 30 October 2026